What Does Supply Chain Management Mean in the Age of AI?
Your suppliers use AI. You use AI to manage them. Who sees the whole picture?
You choose a supplier for the service it delivers. But do you know which AI tools help deliver it, where your data goes, or who sits behind those tools?
Now turn the question around. When your own team uses AI to find, compare or assess suppliers, what shapes its recommendations and who checks them before they become business decisions?
AI changes both sides of the supplier relationship. Join Jean-Hugues Migeon, Co-founder & CTO of Anove, to explore what this means for how you select suppliers, manage dependencies and keep your business running.
1. Buying a service can mean buying into AI without knowing it
A recruitment agency screens candidates with AI. A logistics partner uses it to plan deliveries. A software provider adds an AI feature after you sign. Your supplier list may stay the same while the technology, data flows and dependencies behind it change.
Supply chain management now means understanding how a service is produced, as well as who you buy it from.
Ask better questions: where does the supplier use AI, what information does it process, and how are outputs checked?
Look beyond the contract: identify the model providers, platforms and subcontractors involved in delivering the service.
Think about continuity: what happens if a shared AI provider fails, changes its terms or becomes unavailable?
Keep the conversation open: agree how suppliers tell you about material changes after onboarding.
2. Using AI to manage suppliers changes your decisions, too
AI can help teams research suppliers, compare proposals, review evidence and spot changes across a portfolio. That creates room for better supplier conversations and faster action. It also makes the quality of the information behind a recommendation more important.
Find and compare: use AI to support shortlisting while checking sources, assumptions and missing alternatives.
Assess and monitor: bring together evidence on service performance, financial health, security and dependencies.
Challenge the output: distinguish verified facts from inferences, outdated information and gaps.
Keep ownership clear: decide who validates findings, approves suppliers and accepts risk.
What you’ll take away
A practical way to connect AI adoption with everyday supplier management: the questions to ask at onboarding, the changes to watch during the relationship, and the decisions that need human judgement. We’ll explore how Anove’s insAIght platform and ChainShield supply chain risk module can support this approach.
The central question: can you explain who—and what—your business depends on?
Who should attend
Business leaders, procurement and supply chain teams, vendor managers, CISOs, and risk and compliance professionals.
Your speaker
Jean-Hugues Migeon, Co-founder & CTO, Anove
Jean-Hugues leads the development of Anove’s insAIght platform and ChainShield, its supply chain risk module. He works with risk and compliance teams across Europe to improve supplier visibility and monitoring while keeping people accountable for decisions.